Marek Jersak, Senior Director, Autonomous Drive Practice at Luxoft Automotive Autonomous Drive – From Sensors to Motion Dr. Marek Jersak received his Diploma in Electrical Engineering from Aachen University of Technology, Germany in 1997. From 1997 to 1999 he worked as a compiler design engineer for Conexant Systems in Newport Beach, California. He returned to school in 1999 and graduated with a PhD in Real-Time Embedded System Design from the Technical University of Braunschweig, Germany in 2004. Together with his university fellow Kai Richter, in 2005 Marek co-founded Symtavision GmbH in Braunschweig, and in 2013 Symtavision Inc in Michigan, serving as Managing Director respectively President for those companies. Symtavision became a globally recognized leader in Timing Analysis tools and architecture consulting for automotive real- time systems with a focus on chassis, active safety, powertrain, body-control and in-vehicle networking. In February 2016, Marek and Kai sold Symtavision to Luxoft. Marek became director of the newly formed ‘Under the Hood’ practice inside Luxoft Automotive. The practice grew to more than 200 engineers in 1.5 years. At the end of 2017, we repositioned the practice to focus fully on various levels of automated driving, from Level-2 / 3 mass-production ADAS software to architectures and algorithms for Level-4 and ultimately Level-5 autonomous driving. Marek is now fully focused on building the teams, customer relationships and engagement models that enable a seamless, scalable and agile solutions offering from sensors to actuators, spanning co-development with our customers of system and software architectures, algorithms, automotive-grade software, integration, and testing.

1. Marek Jersak
Senior Director, Autonomous Drive
Autonomous Drive
Empowering the Mobility Revolution

2. Reality…
Picture of congested area

3. www.luxoft.com
Some “non-autonomous” driving statistics
Safety
1.2 mln people die on roads worldwide
every year. This is about one death
every 30 seconds
Accessibility
10s of millions of people are too
young, too old, not trained, or
physically unable to drive
Time
On average we commute 10% of our
free time. Consider adding 8 more
years to your productive lives!
Money
Cars are only used 6% of time, wasting
94% of cost

4. www.luxoft.com
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The Mobility Revolution

5. www.luxoft.com
PERSONAL DIGITAL LIFESTYLE
AUTONOMY
ELECTRIFICATION
SHARING ECONOMY
The Mobility Revolution
www.luxoft.com
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6. Key Industry Trends
Automotive companies
become Software
Companies.
Autonomous Driving &
ECU consolidation
drives the need for new
software platforms and
talent.
Sharing economy drives
digitalization of customer
experience for car
industry.
Eco-systems need to be
built to satisfy Personal
Digital Lifestyles, no
longer “one company
does all”.
1. 2. 3. 4.
www.luxoft.com
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7. Flexible & efficient
engagement model
Best use
of resources
Easily scalable
Balancing cost
& other factors
NORTH
AMERICA
WESTERN
EUROPE
CENTRAL
AND EASTERN EUROPE
ASIA AND PACIFIC
GLOBAL DELIVERY PLATFORM
13,000+
Employees Worldwide
300+
Active Clients,
40% from Fortune 500
$900M
Est revenue FY’2018
23%
Compound Annual Growth Rate
Public listed
on the New York Stock Exchange
Continents4 20 Countries 41 Cities 38
Delivery
offices
Luxoft at a Glance

8. 2,700+
Employees Worldwide
32+
Active Clients, 40% OEMs
<10 %
Attrition
45%
Compound Annual Growth Rate
4 new locations in FY18
12 years
Automotive Practice
Geographies
3 3 Continents 17 Countries 16
Delivery
offices
• APAC
• Americas
• EMEA
Luxoft Automotive at a Glance

9. www.luxoft.com
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Co-creating Smart Solutions

10. Co-creating Smart Solutions
The world has become far too complex
and far too diverse for any one company to be
able to meet all the demands of customers.
Dr. I.P. Parks, LG President & CTO, Opening Key Note Speaker at IFA, Berlin,
Aug. 31, 2018
Co-creating smart solutions in practice –
together with an ecosystem of technology,
product, and platform partners.
Two cornerstones: next generation silicon and
software platforms
www.luxoft.com
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11. www.luxoft.com
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12. Autonomous Drive
From Sensors to Motion

13. 2050 ?2018
L3
Conditional
AUTOMATION
Vehicle takes control most of the time
Driver is required to take over in emergency
L4 High
AUTOMATION
Vehicle fully autonomous under
certain conditions. Driver is not
required during defined use case
L2
PARTIAL
AUTOMATION
Vehicle integrates detection.
Driver ready to take control
L1
DRIVER
ASSISTANCE
Vehicle provides driver infos/warnings.
Driver has informed control
L0
NO
AUTOMATION
Driver has
full control
20302020
MONITORING FALLBACK
L5 FULL
AUTOMATION
Vehicle fully autonomous.
Occupants do not need
ability to drive
Passenger
Mind Off
Eyes Off
Hands Off
…Series Cars
SAE Levels auf Automated Driving
www.luxoft.com
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14. Safety-critical vehicle control …
Central
Driving Unit
Car Actuators
Camera,
Lidar, Radar
This can happen with a level 2 system, when the
driver assumes it is level 3.

15. AD SW Development Aspects
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Lane
Keeping
Lane
Changing /
Exiting
Intersection
Parking …
Emergency
Stopping
2. Finite State Automata of Functions1. Logical / Function Architecture 3. HW / SW Architecture
Global Route
Planning
Sensing
HD Maps / Cloud
Data
Perception
Motion
Planning
Control &
Feedback
Driver Model
Smart Road
Infrastructure
4. Development Process
• ASPICE
• Functional Safety
• Agile Scaling Frameworks, CI / CD
• Real-Time

16. Progressing towards L4 Autonomous
www.luxoft.com
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17. AD System Architecture
www.luxoft.com
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Interior /
Exterior
camera
camera
LiDAR
RADAR
RADAR
RADAR
RADAR
RADAR
camera
camera
camera
RADAR
RADAR
LiDAR
LiDAR
Redundant
AD
Computer
UPA
UPA
UPA
UPA
UPA
UPA
UPA
UPA
camera
LiDAR
RADAR
camera
camera
Cockpit
Computer
Redundant
AD
Computer
Body/GW
Computer

18. Sensor Data Fusion – why is it important?
Camera
+ colors, shapes, object recognition
o 3D, dynamics
Lidar
+ disances, relative velocities
o resolution
Radar
+ range, field of view, poor weather
- resolution

19. AD Software Platforms
High-Performance
Cores
(x86 or Cortex-A)
Hypervisor
Applications
(demonstrators)
POSIX OS
AR Adaptive
Platform
Applications
(demonstrators)
SeveralGuestOSpossible(Linux,QNX,etc.)
Shallowvirtualization(Linuxcontainers)possible
Memory, Peripherals,
Interconnect, Accelerators, etc.
Platform SW
ARA::COM
High SW interface
Low SW interface
MCAL
drv/libsBSP
SOC vendor
make or buy*
buy* + some make
buy*
SOC vend. + customization
make
High-Performance
Cores
(x86 or Cortex-A)
High-Performance
Cores
(x86 or Cortex-A)
Classic Cores
(Cortex-M/R or
proprietary)
High-Performance
Cores
(x86 or Cortex-A)
Classic Cores
(Cortex-M/R or
proprietary)
* Buy can also include OSS (open - source software)
SOC and board
User Software
OEM
middle
ware
Embedded OS
AR Classic
(full or reduced)
AR-CP-RTE

20. Multi-domain SW Architecture
Continuous integration incl. test and measurements
Timing Analysis
www.luxoft.com
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Luxoft Autostar Adaptive Contributions

21. Hardware
Software
Unit
Testing
Hardware
Software
Board
Integration
Testing
HIL and SIL tests
Communication tests
System
Integratio
n Testing
Performance tests
Vehicle
Integration
Testing
Supplier
Identification
Design Transfer
PPAP
Production
User Manual
Warranty
Product
LaunchComponent Technical
Specification
Compliance standards
Interface system details
Use case definition
Product
Definition
Functional safety
Compliance
standards
System safety
requirement / Goals
Risk Assessment
Safety
Definition
System Scope and Boundary
Development Interface
Agreement
System Safety Program Plan
Supporting Processes Plan
Technical Safety Concept
Development
Interface
Agreement
Requirement Gathering
Test plan development
ISO26262 design consideration
HW & SW Design, worst case, safety
analysis
Product
Design and
Development
Luxoft activities
Customer activities
Customer and Luxoft
Luxoft Partnered
Product Development Partnership

23. KEY AGILE SCALING FRAMEWORKS
 Scaled Agile Framework (SAFe)
- Much more detailed than LeSS and
Nexus
- Quicker start due to pre-defined
practices
- Specific focus on funding, P&L,
portfolio management
- Introduces new dedicated roles,
more focus on personal accountability
- Less focus on shippable product
increment
- Logical way to move slowly towards
Agile for large enterprise companies
 Large Scale Scrum (LeSS)
- Little overhead over Scrum
- More of a lean thinking instrument
than specific toolkit for scaling
- Requires senior Scrum Masters and
Product Owners
- Success depends on the experience
and mindset of people driving
implementation
- Effective for “green field” product
development teams having
necessary resources to establish
proper practices
 Nexus (SPS)
- Most similar to plain Scrum
- Has dedicated integration team,
reducing seniority requirements
for regular teams
- The “youngest” approach,
doesn’t have too many case
studies yet

24. Autonomous Drive
Challenges & Remedies

25. Steven E. Shladover, Sc.D. California PATH Program Institute
of Transportation Studies University of California, Berkeley
Addressing Autonomous Drive Challenges
Complexity of Self-driving Functions: Road Conditions
www.luxoft.com
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26. Steven E. Shladover, Sc.D. California PATH Program Institute
of Transportation Studies University of California, Berkeley
Addressing Autonomous Drive Challenges
Complexity of Self-driving Functions: Idiots
www.luxoft.com
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27. Car Companies will need to process massive amounts of data
www.luxoft.com
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OEM factory in 5 years:
100 racks
15,000 racks
It is estmated that putting L4
Autonomy on the road will require
hundreds of PETA-Byte of Data

28. Highly-Automated Data Labeling
Raw data to be labeled
(e.g. lidar point cloud)
Data visualization
for humans
Supplemental raw
data for humans
(e.g. video)
Label prediction
(automation)
Integrated annotator workplace
Humans fix label
predictions
Human org. process to
validate the output
Results: human-verified labels for lidar data
START
END
improve accuracy
improve UX for efficiency
Speed and quality Add computer
validation
Cheaper, better results
Add fusion-based
label prediction

29. Driving Fallback (L3 – L4)
www.luxoft.com
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30. Teleoperated Driving (L5)
www.luxoft.com
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vehiclecontrol center
Remote access
to vehicle control

31. www.luxoft.com
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32. Vehicle Security Module
safety-
critical
features
control signals
video stream
vehicle data
TMIS
control center hacker
vehicle
communication
channel
e.g. WIFI
www.luxoft.com
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34. www.luxoft.com
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Automotive in Silicon Valley
Continental Automotive
Lyft
Hyundai Ventures
Honda Research
Google Auto Tech
GM Advanced Technology
Ford Silcon Valley Lab
Valeo North America
Uber Auto
Toyota InfoTech
Tesla
Uber / Otto
Nvidia Auto
Nissan Research Center
NIO (NextEV)
BMW Group Technology Office
Delphi Labs
Zoox
Porsche Digital
Tesla Factory
Bosch Research
OEM
Visteon
Tier 1
Disruptive
Apple Car
Audi / VW Electronics
Panasonic R&D
SAIC
Mercedez-Benz R&DNauto
Lucid Motors
Samsung
Waymo

35. Thank you!
Questions?